Research library

Automatic methods for long-term tracking and the detection and decoding of communication dances in honeybees

Fernando Wario 1 † , Benjamin Wild 1 † , Margaret J. Couvillon 2 , Raúl Rojas 1 and Tim Landgraf 1* 1 FB Mathematik und Informatik, Freie Universität Berlin, Berlin, Germany, 2 Laboratory of Apiculture and Social Insects, School of Life Sciences, University of Sussex, Brighton, UK Edited by: Peter Schausberger, University of Natural Resources and Life Sciences Vienna, Austria Reviewed by: Shawn M. Wilder, Oklahoma State University, USA Stephan Wolf, Queen Mary University London, UK *Correspondence: Tim Landgraf, FB Mathematik und Informatik, Institut für Informatik, Freie Universität Berlin, Arnimallee 7, 14195 Berlin, Germany tim.landgraf@fu-berlin.de † These authors have contributed equally to this work. The honeybee waggle dance communication system is an intriguing example of abstract animal communication and has been investigated thoroughly throughout the last seven decades.

Publication details

Authors
Tim Landgraf
Organizations
🇩🇪 Freie Universität Berlin🇬🇧 University of Sussex
Year
2015
Type
Journal

Relevancy to Gratheon

This paper is relevant to Gratheon because it informs entrance and behavior analytics in the Gratheon web app, camera-based hive-scanner and computer-vision models. Its methods and findings can be translated into product requirements for reliable field deployments: what should be sensed, how signals should be interpreted, and which uncertainty or validation limits need to be surfaced to beekeepers. For Gratheon, the work is most useful as an evidence-backed design reference for connecting local hive observations with actionable recommendations in the web app while keeping hardware practical for remote apiaries.